Journal ArticleDOI
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions
TLDR
A clear collaboration model for the SDN-Edge Computing interaction is put forward through practical architectures and it is shown that SDN related mechanisms can feasibly operate within the Edge Computing infrastructures.Abstract:
A novel paradigm that changes the scene for the modern communication and computation systems is the Edge Computing. It is not a coincidence that terms like Mobile Cloud Computing, Cloudlets, Fog Computing, and Mobile-Edge Computing are gaining popularity both in academia and industry. In this paper, we embrace all these terms under the umbrella concept of “Edge Computing” to name the trend where computational infrastructures hence the services themselves are getting closer to the end user. However, we observe that bringing computational infrastructures to the proximity of the user does not magically solve all technical challenges. Moreover, it creates complexities of its own when not carefully handled. In this paper, these challenges are discussed in depth and categorically analyzed. As a solution direction, we propose that another major trend in networking, namely software-defined networking (SDN), should be taken into account. SDN, which is not proposed specifically for Edge Computing, can in fact serve as an enabler to lower the complexity barriers involved and let the real potential of Edge Computing be achieved. To fully demonstrate our ideas, initially, we put forward a clear collaboration model for the SDN-Edge Computing interaction through practical architectures and show that SDN related mechanisms can feasibly operate within the Edge Computing infrastructures. Then, we provide a detailed survey of the approaches that comprise the Edge Computing domain. A comparative discussion elaborates on where these technologies meet as well as how they differ. Later, we discuss the capabilities of SDN and align them with the technical shortcomings of Edge Computing implementations. We thoroughly investigate the possible modes of operation and interaction between the aforementioned technologies in all directions and technically deduce a set of “Benefit Areas” which is discussed in detail. Lastly, as SDN is an evolving technology, we give the future directions for enhancing the SDN development so that it can take this collaboration to a further level.read more
Citations
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Journal ArticleDOI
All one needs to know about fog computing and related edge computing paradigms: A complete survey
Ashkan Yousefpour,Caleb Fung,Tam T. Nguyen,Krishna P. Kadiyala,Fatemeh Jalali,Amirreza Niakanlahiji,Jian Kong,Jason P. Jue +7 more
TL;DR: This paper provides a tutorial on fog computing and its related computing paradigms, including their similarities and differences, and provides a taxonomy of research topics in fog computing.
Journal ArticleDOI
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
TL;DR: The architecture and features of fog computing are reviewed and critical roles of fog nodes are studied, including real-time services, transient storage, data dissemination and decentralized computation, which are expected to draw more attention and efforts into this new architecture.
Journal ArticleDOI
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
Mithun Mukherjee,Lei Shu,Di Wang +2 more
TL;DR: This survey starts by providing an overview and fundamental of fog computing architecture, and provides an extensive overview of state-of-the-art network applications and major research aspects to design these networks.
Journal ArticleDOI
Survey on Multi-Access Edge Computing for Internet of Things Realization
TL;DR: This survey provides a holistic overview on the exploitation of MEC technology for the realization of IoT applications and their synergies and discusses the technical aspects of enabling MEC in IoT and provides some insight into various other integration technologies therein.
Journal ArticleDOI
A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges
TL;DR: This paper provides a comprehensive survey on the literature involving machine learning algorithms applied to SDN, from the perspective of traffic classification, routing optimization, quality of service/quality of experience prediction, resource management and security.
References
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Journal ArticleDOI
OpenFlow: enabling innovation in campus networks
Nick McKeown,Thomas Anderson,Hari Balakrishnan,Guru Parulkar,Larry L. Peterson,Jennifer Rexford,Scott Shenker,Jonathan S. Turner +7 more
TL;DR: This whitepaper proposes OpenFlow: a way for researchers to run experimental protocols in the networks they use every day, based on an Ethernet switch, with an internal flow-table, and a standardized interface to add and remove flow entries.
Journal ArticleDOI
The Computer for the 21st Century
TL;DR: Consider writing, perhaps the first information technology: The ability to capture a symbolic representation of spoken language for long-term storage freed information from the limits of individual memory.
Journal Article
The computer for the 21st century
TL;DR: In this article, the authors propose that specialized elements of hardware and software, connected by wires, radio waves and infrared, will soon be so ubiquitous that no-one will notice their presence.
Proceedings ArticleDOI
Fog computing and its role in the internet of things
TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
Journal ArticleDOI
The Case for VM-Based Cloudlets in Mobile Computing
TL;DR: The results from a proof-of-concept prototype suggest that VM technology can indeed help meet the need for rapid customization of infrastructure for diverse applications, and this article discusses the technical obstacles to these transformations and proposes a new architecture for overcoming them.